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Nonstationary feature extraction based on stochastic resonance and its application in rolling bearing fault diagnosis under strong noise background
Release time:2024-05-30 Hits:DOI number:10.1063/5.0121593
Affiliation of Author(s):机电工程学院
Funded by:国家自然科学基金项目
First Author:王志乐
Co-author:yangjianhua,郭瑜,宫涛,单振
Indexed by:Journal paper
Document Code:5b5bb29488935f090188bddefa49050c
Volume:v 94,n 1,
ISSN No.:00346748
Translation or Not:no
Date of Publication:2023-01-01
Gender:Male
Alma Mater:南京航空航天大学
Other Post:机电工程学院国际交流办公室副主任
Degree:Doctor
School/Department:机电工程学院
Business Address:中国矿业大学机电工程学院203室
Contact Information:jianhuayang@cumt.edu.cn